Pulmonology

Ancestry-Associated Performance Variability of Open-Source AI Models for EGFR Prediction in Lung Cancer.

IMPORTANCE: Artificial intelligence (AI) models are emerging as rapid, low-cost tools for predicting...

Artificial intelligence for lung cancer: a systematic review of head‑to‑head CT, FDG PET/CT, and multimodal models across screening, staging, and prognosis.

BACKGROUND: Artificial intelligence (AI) has shown increasing potential in lung cancer imaging, part...

[Application of a novel robot-assisted navigation system in CT-guided percutaneous lung biopsy].

Objective: To compare the clinical efficacy and safety of robot-assisted navigation systems with tho...

Performance of adult-trained artificial intelligence models in paediatric imaging-a scoping review.

OBJECTIVES: This scoping review aims to evaluate the performance of artificial intelligence (AI) mod...

Leveraging natural language processing and machine learning to identify chronic conditions from primary care electronic medical records.

Primary care electronic medical records (EMRs) contain rich data that can support proactive identifi...

Machine learning-based on model for explain risk of 24-hour death in critically ill patients in the prehospital setting: A retrospective cohort study.

This study aimed to develop and validate a machine learning-based model for predicting 24-hour morta...

A rapid diagnostic approach for COPD utilizing multimodal serum spectra integrated with machine learning algorithms.

Chronic Obstructive Pulmonary Disease (COPD) is a major global respiratory illness causing death and...

A deep learning model based on ultrasound imaging to differentiate malignant from benign pleural effusion: a multicenter cohort study.

Noninvasive Staging of Hepatic Fibrosis in Patients with Autoimmune Liver Disease Using Deep Learning.

RATIONALE AND OBJECTIVES: Accurate staging of hepatic fibrosis is essential for guiding immunosuppre...

Advances in nanostructured chemiresistive sensors for formaldehyde detection.

Formaldehyde (HCHO) is deleterious both as an indoor volatile organic compound, contributing to resp...

Artificial Intelligence-Assisted Identification and Prevention of Chronic Obstructive Pulmonary Disease Using Biodegradable and Reusable Piezoelectric Elastomer/Poly(l-lactic acid) Composite Nanofiber Membrane.

Chronic obstructive pulmonary disease (COPD) is a respiratory disease imposing significant economic ...

Multi-modal AI for opportunistic screening, staging and progression risk stratification of steatotic liver disease.

The global rise in steatotic liver disease poses a significant public health challenge. While non-co...

Polysomnography Dataset for Sleep Analysis in Ischemic Stroke Patients.

Sleep architecture and integrity significantly influence neural recovery and cognitive restoration. ...

HMI-LUSC: A Histological Hyperspectral Imaging Dataset for Lung Squamous Cell Carcinoma.

Hyperspectral imaging (HSI) is a three-dimensional imaging technique that integrates spectroscopy an...

Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

INTRODUCTION: Periodontal disease (PD) is closely linked to systemic health, with established associ...

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental fa...

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdT...

Unraveling the matrix stiffness landscape in idiopathic pulmonary fibrosis: GSN and ARG1 as novel diagnostic biomarkers and potential therapeutic targets.

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is a progressive and fatal interstitial lung disease...

Identification and validation of the protective gene BCAT2 related to amino acid metabolism in idiopathic pulmonary fibrosis.

Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal lung disease, with unknown pathogenes...

Combining Spatial Transcriptomics and Machine Learning Unravels Fibroblast-Related Biomarkers in Ulcerative Colitis.

Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by persistent mucosal ...

Stress Detection Using Heart Rate Variability and Respiratory Signals Derived From a Single-Lead ECG.

Stress detection is a widely studied field due to its significant implications for mental and physic...